by Ali Balador, Sima Sinaei (RISE Research Institute of Sweden) and Mats Pettersson (Sensative AB)

DAIS is a huge step forward in the area of artificial intelligence and edge computing. DAIS intends to create a complete framework for self-organising, energy-efficient and private-by-design distributed AI. DAIS is a European project with a consortium of 47 partners from 11 countries coordinated by Ali Balador from RISE research institute of Sweden.

by Petr Pecha, Miroslav Kárný, Emilie Pechová, Václav Šmídl  and Ondřej Tichý (Institute of Information Theory and Automation)

A research team from the department of Adaptive Systems of ÚTIA [L1] has solved the project HARP [L2] which included examination of various release scenarios under worst-case meteorological conditions. Recently, the team has been focused on inspection of the calm situations characterised by stable atmosphere at very low wind speed with possibility of rainfall. Although the probability of such episodes is low, possible radiological impact on the environment can be serious. Developed methodology supports deployment of the sampling-based methods for probabilistic estimation of the radiological impact of radiation accidents.

by Francesco Flammini (Mälardalen University), Stefano Marrone (University of Campania Luigi Vanvitelli) and Lei Chen (University of Birmingham)

PERFORMINGRAIL aims to delineate, through formal modelling and optimal traffic management, moving block railway signalling using advanced train positioning approaches for diverse market segments.